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      Phylogeny of Echinoderm Hemoglobins

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          Abstract

          Background

          Recent genomic information has revealed that neuroglobin and cytoglobin are the two principal lineages of vertebrate hemoglobins, with the latter encompassing the familiar myoglobin and α-globin/β-globin tetramer hemoglobin, and several minor groups. In contrast, very little is known about hemoglobins in echinoderms, a phylum of exclusively marine organisms closely related to vertebrates, beyond the presence of coelomic hemoglobins in sea cucumbers and brittle stars. We identified about 50 hemoglobins in sea urchin, starfish and sea cucumber genomes and transcriptomes, and used Bayesian inference to carry out a molecular phylogenetic analysis of their relationship to vertebrate sequences, specifically, to assess the hypothesis that the neuroglobin and cytoglobin lineages are also present in echinoderms.

          Results

          The genome of the sea urchin Strongylocentrotus purpuratus encodes several hemoglobins, including a unique chimeric 14-domain globin, 2 androglobin isoforms and a unique single androglobin domain protein. Other strongylocentrotid genomes appear to have similar repertoires of globin genes. We carried out molecular phylogenetic analyses of 52 hemoglobins identified in sea urchin, brittle star and sea cucumber genomes and transcriptomes, using different multiple sequence alignment methods coupled with Bayesian and maximum likelihood approaches. The results demonstrate that there are two major globin lineages in echinoderms, which are related to the vertebrate neuroglobin and cytoglobin lineages. Furthermore, the brittle star and sea cucumber coelomic hemoglobins appear to have evolved independently from the cytoglobin lineage, similar to the evolution of erythroid oxygen binding globins in cyclostomes and vertebrates.

          Conclusion

          The presence of echinoderm globins related to the vertebrate neuroglobin and cytoglobin lineages suggests that the split between neuroglobins and cytoglobins occurred in the deuterostome ancestor shared by echinoderms and vertebrates.

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          Most cited references43

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          ProtTest: selection of best-fit models of protein evolution.

          Using an appropriate model of amino acid replacement is very important for the study of protein evolution and phylogenetic inference. We have built a tool for the selection of the best-fit model of evolution, among a set of candidate models, for a given protein sequence alignment. ProtTest is available under the GNU license from http://darwin.uvigo.es
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            T-Coffee: a web server for the multiple sequence alignment of protein and RNA sequences using structural information and homology extension

            This article introduces a new interface for T-Coffee, a consistency-based multiple sequence alignment program. This interface provides an easy and intuitive access to the most popular functionality of the package. These include the default T-Coffee mode for protein and nucleic acid sequences, the M-Coffee mode that allows combining the output of any other aligners, and template-based modes of T-Coffee that deliver high accuracy alignments while using structural or homology derived templates. These three available template modes are Expresso for the alignment of protein with a known 3D-Structure, R-Coffee to align RNA sequences with conserved secondary structures and PSI-Coffee to accurately align distantly related sequences using homology extension. The new server benefits from recent improvements of the T-Coffee algorithm and can align up to 150 sequences as long as 10 000 residues and is available from both http://www.tcoffee.org and its main mirror http://tcoffee.crg.cat.
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              FUGUE: sequence-structure homology recognition using environment-specific substitution tables and structure-dependent gap penalties.

              FUGUE, a program for recognizing distant homologues by sequence-structure comparison (http://www-cryst.bioc.cam.ac.uk/fugue/), has three key features. (1) Improved environment-specific substitution tables. Substitutions of an amino acid in a protein structure are constrained by its local structural environment, which can be defined in terms of secondary structure, solvent accessibility, and hydrogen bonding status. The environment-specific substitution tables have been derived from structural alignments in the HOMSTRAD database (http://www-cryst.bioc. cam.ac.uk/homstrad/). (2) Automatic selection of alignment algorithm with detailed structure-dependent gap penalties. FUGUE uses the global-local algorithm to align a sequence-structure pair when they greatly differ in length and uses the global algorithm in other cases. The gap penalty at each position of the structure is determined according to its solvent accessibility, its position relative to the secondary structure elements (SSEs) and the conservation of the SSEs. (3) Combined information from both multiple sequences and multiple structures. FUGUE is designed to align multiple sequences against multiple structures to enrich the conservation/variation information. We demonstrate that the combination of these three key features implemented in FUGUE improves both homology recognition performance and alignment accuracy. Copyright 2001 Academic Press.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                6 August 2015
                2015
                : 10
                : 8
                : e0129668
                Affiliations
                [1 ]Biology Department, Lamar University, Beaumont, Texas, United States of America
                [2 ]Department of Statistics, University of Oxford, Oxford, OX1 3TG, United Kingdom
                [3 ]Division of Mathematical Biology, National Institute of Medical Research, London, NW7 1AA, United Kingdom
                [4 ]School of Biological & Chemical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom
                [5 ]Department of Ecology & Evolutionary Biology, University of California Santa Cruz, Santa Cruz, California, United States of America
                [6 ]College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, North Carolina 28223, United States of America
                [7 ]Marine Plants and Biomolecules, Station Biologique de Roscoff, 2968 Roscoff, France
                [8 ]Department of Biochemistry and Molecular Biology, Wayne State University School of Medicine, Detroit, Michigan 48201, United States of America
                [9 ]Institute of Physiology, University of Duisburg-Essen, Essen, Germany
                Laboratoire Arago, FRANCE
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: JLH SNV DH. Performed the experiments: ABC JLH SNV DH. Analyzed the data: ABC JLH MRE KMK DJ GL DCS XB SNV DH. Wrote the paper: ABC JLH MRE KMK DJ GL DCS XB SNV DH.

                Article
                PONE-D-14-54939
                10.1371/journal.pone.0129668
                4527676
                26247465
                271f4ef7-cf56-4bba-a20a-01713ae6efe1
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 8 December 2014
                : 12 May 2015
                Page count
                Figures: 8, Tables: 1, Pages: 19
                Funding
                This material is based upon work supported by the National Science Foundation under Grant Number 1036416, "Collaborative Research: Assembling the Echinoderm Tree of Life". The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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